Evidence map›Paper›PMID 30960899›Full record

ArticlePolymers2018

Detection of Acidic Pharmaceutical Compounds Using Virus-Based Molecularly Imprinted Polymers.

In-Hyuk Baek, Hyung-Seop Han, Seungyun Baik, Volkhard Helms, Youngjun Kim

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

In-Hyuk BaekEnvironmental Safety Group, Korea Institute of Science & Technology Europe GmbH, 66123 Saarbrücken, Germany. ih.baek@kist-europe.de.
Hyung-Seop HanNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, B4495 Oxford, UK. hyungseop.han@ndorms.ox.ac.uk.
Seungyun BaikEnvironmental Safety Group, Korea Institute of Science & Technology Europe GmbH, 66123 Saarbrücken, Germany. sbaik@kist-europe.de.
Volkhard HelmsCenter for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany. volkhard.helms@bioinformatik.uni-saarland.de.ORCID 0000-0002-2180-9154
Youngjun KimEnvironmental Safety Group, Korea Institute of Science & Technology Europe GmbH, 66123 Saarbrücken, Germany. youngjunkim@kist-europe.de.ORCID 0000-0003-2605-0922
KIST Europe · DENuffield Orthopaedic Centre · GBSaarland University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecularly imprinted polymers (MIPs) have proven to be particularly effective chemical probes for the molecular recognition of proteins, DNA, and viruses. Here, we started from a filamentous bacteriophage to synthesize a multi-functionalized MIP for detecting the acidic pharmaceutic clofibric acid (CA) as a chemical pollutant. Adsorption and quartz crystal microbalance with dissipation monitoring experiments showed that the phage-functionalized MIP had a good binding affinity for CA, compared with the non-imprinted polymer and MIP. In addition, the reusability of the phage-functionalized MIP was demonstrated for at least five repeated cycles, without significant loss in the binding activity. The results indicate that the exposed amino acids of the phage, together with the polymer matrix, create functional binding cavities that provide higher affinity to acidic pharmaceutical compounds.

Indexed as

clofibric acidelectrochemical polymerizationfilamentous bacteriophagemicrobalance sensormolecularly imprinted polymerpolypyrroleself-assemblyvirus

Identifiers

PMID30960899
PMCPMC6403656
OpenAlexW2890063945

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.